Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role...

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Main Authors: Ezequiel Gleichgerrcht, Brent C. Munsell, Saud Alhusaini, Marina K.M. Alvim, Núria Bargalló, Benjamin Bender, Andrea Bernasconi, Neda Bernasconi, Boris Bernhardt, Karen Blackmon, Maria Eugenia Caligiuri, Fernando Cendes, Luis Concha, Patricia M. Desmond, Orrin Devinsky, Colin P. Doherty, Martin Domin, John S. Duncan, Niels K. Focke, Antonio Gambardella, Bo Gong, Renzo Guerrini, Sean N. Hatton, Reetta Kälviäinen, Simon S. Keller, Peter Kochunov, Raviteja Kotikalapudi, Barbara A.K. Kreilkamp, Angelo Labate, Soenke Langner, Sara Larivière, Matteo Lenge, Elaine Lui, Pascal Martin, Mario Mascalchi, Stefano Meletti, Terence J. O'Brien, Heath R. Pardoe, Jose C. Pariente, Jun Xian Rao, Mark P. Richardson, Raúl Rodríguez-Cruces, Theodor Rüber, Ben Sinclair, Hamid Soltanian-Zadeh, Dan J. Stein, Pasquale Striano, Peter N. Taylor, Rhys H. Thomas, Anna Elisabetta Vaudano, Lucy Vivash, Felix von Podewills, Sjoerd B. Vos, Bernd Weber, Yi Yao, Clarissa Lin Yasuda, Junsong Zhang, Paul M. Thompson, Sanjay M. Sisodiya, Carrie R. McDonald, Leonardo Bonilha, Andre Altmann, Chantal Depondt, Marian Galovic, Sophia I. Thomopoulos, Roland Wiest
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158221002096